A00-1023 significant advance in the state-of-art information retrieval technology . Kupiec ( 1993 )
A00-1004 Chinese-English cross-language information retrieval ( CLIR ) . We will discuss some
A00-1003 precision even in monolingual information retrieval . In a cross-language application
A00-1003 grown up around cross-language information retrieval ( e.g. Grefenstette 1998 , TREC-7
A00-1003 the literature on crosslanguage information retrieval . First , the choice of application
A00-1003 application for which cross-language information retrieval works particularly well . eMotion
A00-1036 natural language processing with information retrieval , these results show substantial
A00-1003 support effective cross-language information retrieval , for certain applications .
A00-1027 recall and precision in Korean information retrieval , and obtaining better translation
A00-1036 to use linguistic knowledge in information retrieval . These experiments show that
A00-1004 English-Chinese corpus for cross-language information retrieval </title> Jiang Chen Jian-Yun
A00-1027 such as machine translation and information retrieval . 6 Acknowledgement We thank
A00-1041 } Oresearch.att . com Abstract Information retrieval systems have typically concentrated
A00-1003 of this paper , cross-language information retrieval , concerns the automatic retrieval
A00-1023 not really perform the task of information retrieval ; they in fact aim at only document
A00-1003 pitfalls common to cross-language information retrieval : ( 1 ) The dictionary may not
A00-1004 utilization is in cross-language information retrieval ( CUR ) where queries have to
A00-1036 Linguistic Knowledge can Improve Information Retrieval </title> A Woods A Bookman Houston
A00-1041 has long been a concensus in the Information Retrieval ( IR ) community that natural
A00-1025 techniques for standard ad-hoc information retrieval ( IR ) , query-dependent text
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